StarCoder2 15BvsGPT-o1

StarCoder2 15B is a code-focused large language model developed by the BigCode project in collaboration with Hugging Face. Trained on The Stack v2, one of the largest and most ethically sourced code datasets, it supports over 600 programming languages. At 15 billion parameters with a 16K context window, it delivers strong code completion and generation performance while being fully open-source and transparently trained on permissively licensed data.

GPT-o1 is OpenAI's first dedicated reasoning model, introducing the concept of 'thinking tokens' where the model reasons through problems step-by-step before generating a response. This approach significantly improves performance on complex mathematics, coding challenges, and scientific reasoning compared to standard language models. With a 200K token context window, o1 can process lengthy technical documents while applying deep reasoning. It excels on competition-level math problems, PhD-level science questions, and complex coding tasks that require careful logical thinking. While slower and more expensive than GPT-4o due to the reasoning overhead, o1 delivers substantially better results on tasks that benefit from deliberate, structured problem-solving rather than quick pattern matching.